Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

Tactile sensing technology is crucial for soft grippers. Soft grippers equipped with intelligent
tactile sensing systems based on various sensors can interact safely with the unstructured …

We introduce Rotateit, a system that enables fingertip-based object rotation along multiple
axes by leveraging multimodal sensory inputs. Our system is trained in simulation, where it …

Human skin can sense subtle changes of both normal and shear forces (ie, self-decoupled)
and perceive stimuli with finer resolution than the average spacing between …

The ability to associate touch with other modalities has huge implications for humans and
computational systems. However multimodal learning with touch remains challenging due to …

A vision-based tactile sensor (VBTS) is an innovative optical sensor widely applied in robotic
perception. The VBTS consists of a contact module, an illumination module, and a camera …

Deformable object manipulation (DOM) is an emerging research problem in robotics. The
ability to manipulate deformable objects endows robots with higher autonomy and promises …

Despite decades of research, general purpose in-hand manipulation remains one of the
unsolved challenges of robotics. One of the contributing factors that limit current robotic …

Vision-based haptic sensors have emerged as a promising approach to robotic touch due to
affordable high-resolution cameras and successful computer vision techniques; however …

BACKGROUND Humans have a fantastic ability to manipulate objects of various shapes,
sizes, and materials and can control the objects' position in confined spaces with the …